Import real-time cryptocurrency data using finance API
Visualize the historical price and volume of Bitcoin & Ethereum using multiple charts & graphs
Forecast the price of Bitcoin & Ethereum using machine learning algorithms like ARIMA, Neural networks and Linear Regression
In this 1 hour long project, you will forecast the price of Bitcoin & Ethereum using multiple machine learning algorithms like ARIMA, Neural networks and Linear Regression. We will begin this project by importing real-time cryptocurrency data using finance API. We will then visualize the historical price and volume of Bitcoin using various charts & graphs. We will then forecast the price of Bitcoin using inbuilt Power BI forecasting tools. We will then import various visuals and then forecast the price of Bitcoin using machine learning algorithms like ARIMA, Neural networks and Linear Regression. In the final task, we will automate the dashboard so that you can forecast the price of any other cryptocurrencies within seconds. By the end of this project, you will be confident in forecasting any cryptocurrency or asset using Power BI. Requirement: In order to complete this project successfully, you need a professional email id (yourdomain emails) or a university email id if you are a student.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Project overview: Finance API key
Importing Financial Data
Forecasting using inbuilt Power BI tools
Importing visuals & Installing R packages
Forecasting using ARIMA & Neural Networks
Dashboard Automation- Ethereum
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
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Can I complete this Guided Project right through my web browser, instead of installing special software?
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What is the learning experience like with Guided Projects?
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
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